What Is Intent Data? The Complete Guide to Turning Buyer Signals into Revenue

What are buyer intent signals?

Buyer intent signals are behavioral data points showing which accounts are actively researching a topic, product, or solution online. Unlike firmographic data, which tells you whether a company fits your ICP profile, or traditional lead scoring, which measures engagement with your own properties, intent signals reveal timing: which accounts are in-market right now, not just which ones look like buyers on paper.

B2B buyers complete more than half their decision-making before contacting a vendor. By the time a prospect fills out a demo request, they've already done the research, built a shortlist, and formed a preference. Intent signals let sales and marketing teams skip the "why now?" stage and go straight to "why you?" by engaging buyers already in research mode, before they've made up their minds.

Consider a concrete scenario: one of your biggest customers is due to renew next quarter. Before kicking off any discussions with their account manager, the client's team starts researching similar products and assembling a list of alternatives. That's a churn risk signal you can act on before the conversation ever happens.

ZoomInfo Intent analyzes signals from 210 million IP-to-Organization pairings and 6 trillion+ new keyword-to-device pairings sourced monthly (zoominfo.com/features/intent-data), helping you identify in-market accounts before they raise their hand. Teams building agentic workflows can connect those same signals to their agents through the GTM Context Graph (gtm.ai), which pipes verified intent and firmographic data into any agent via MCP or one API.

Intent data isn't a shortcut to a signed contract. But it compresses the sales cycle by surfacing accounts in active evaluation before they've completed their shortlist.

Key things to know about buyer intent signals:

• Identify accounts actively researching your category before they contact you

• Score signals by intensity to prioritize outreach

• Separate marketing and sales activation workflows

• Act fast: signal value decays within days

• Measure intent-driven pipeline separately from cold outreach

Why buyer intent signals matter for B2B GTM teams

The buyer journey has fundamentally changed. Most B2B buyers complete the majority of their research before ever talking to a sales rep. Traditional MQLs tell you someone downloaded a whitepaper, but they don't reveal whether that account is ready to buy next quarter or just doing background research.

Traditional MQL metrics tell you someone engaged with content. They don't tell you whether that account is actively evaluating vendors or just doing background research, which makes it nearly impossible to draw a line from campaign spend to closed revenue.

Intent data surfaces accounts showing active research behavior, so teams can prioritize outreach and personalize messaging based on what prospects are actually investigating right now.

Here's what that means for your GTM motion:

• Earlier engagement: Reach accounts while they're actively researching, not after they've made a shortlist

• Better prioritization: Focus rep time on accounts showing genuine interest rather than cold outreach

• Smarter personalization: Tailor messaging to the specific topics a prospect is researching

• Churn prevention: Spot renewal risk when existing customers start researching alternatives

Examples of buyer intent signals

Not every signal looks the same, and not every channel surfaces the same type of buying behavior. Understanding where intent signals originate helps you audit your own coverage and avoid over-relying on a single source.

Website behavior signals

Your own properties capture the highest-confidence buying signals because the account has already found you:

• Pricing page visit: The account is in active evaluation, comparing costs and options

• Repeat product or solution page views: The account is researching specific capabilities, likely building a requirements list

• Case study or customer page view: Validation-seeking behavior, typically late in the evaluation cycle

• Demo or trial request: The highest-intent first-party signal, indicating readiness to engage

Content and search signals

Research behavior off your own site reveals where accounts are in the buying journey:

• Whitepaper or guide download on your category: The account is moving from awareness to consideration

• Consuming competitor comparison content on G2 or Gartner: Active vendor evaluation, the account is building a shortlist

• Searching for "[competitor] vs [your category]" keywords: The account is in the shortlisting phase and comparing specific options

Email and engagement signals

Behavioral signals within your existing outreach reveal buying committee dynamics:

• Forwarding a sales email to a colleague: The buying committee is expanding, someone found the message relevant enough to share

• Clicking a pricing link in an email: Commercial intent, the account is evaluating cost alongside capability

• Re-engaging with a dormant nurture sequence: Renewed interest, often triggered by a new initiative or budget cycle

Third-party research signals

These signals are invisible to you unless you have a third-party intent provider, because they happen on external publisher networks:

• Spiking content consumption on industry publications around your category: Early-stage research, the account is forming a problem definition

• Researching competitor products or company pages: The account has moved into vendor comparison mode

• Reading analyst reports or review site comparisons: Late-stage evaluation, the account is validating a near-final shortlist

ZoomInfo Intent tracks third-party research signals through its publisher network, surfacing accounts researching your category before they ever visit your site.

Contextual and event signals

Organizational changes and external events often precede buying activity:

• New executive hire in a relevant function: An organizational change signal, new leaders frequently evaluate existing vendors and introduce new tools

• Funding round announcement: Budget availability signal, growth-stage companies accelerate tooling decisions after raising

• Attending a trade show or webinar in your category: Active learning signal, the account is investing time in understanding the space

ZoomInfo's Scoops data surfaces contextual signals like these by aggregating declared initiative data from knowledge workers, adding a confirmed layer on top of behavioral signals.

Types of intent data: first-party, third-party, and beyond

No single signal type tells the complete story. First-party data shows who has already found you; third-party data reveals who is researching your category before they ever visit your site; derived and declared intent add predictive and zero-party layers that sharpen prioritization.

First-party intent data

First-party intent data is signals you collect directly from your own properties. This data is highly accurate because it comes from accounts already engaging with you, but it's limited to those who have already found you.

Common first-party signal sources include:

• Website page visits and time on site

• Content downloads (whitepapers, guides, case studies)

• Email opens and clicks

• Webinar registrations and attendance

• Demo or trial requests

• Pricing page visits

Third-party intent data

Third-party intent data is signals collected from external sources across the web. Providers aggregate content consumption, search behavior, and engagement across publisher networks and B2B sites. The advantage: visibility into accounts researching your category before they ever visit your site.

Third-party data reveals:

• Accounts researching your product category on industry publications

• Companies comparing your competitors

• Organizations investigating related pain points or solutions

Third-party intent providers aggregate signals across publisher networks. G2, for example, now aggregates research activity from G2, Capterra, Software Advice, and GetApp in a single subscription. ZoomInfo Intent draws from a broader network of B2B publisher sites and industry content, tracking 6 trillion+ new keyword-to-device pairings sourced monthly (zoominfo.com/features/intent-data).

Derived and guided intent

Advanced intent solutions go beyond raw topic tracking. Derived intent uses machine learning to identify patterns correlated with deal success.

ZoomInfo's Guided Intent identifies topics historically correlated with closed-won deals rather than requiring manual topic selection. Instead of guessing which topics matter, Guided Intent surfaces the research patterns that actually predict pipeline in your business.

Known intent (Scoops)

ZoomInfo surveys knowledge workers monthly to surface declared project and initiative data, published as Scoops on the platform (zoominfo.com/features/intent-data).

This is declared intent rather than inferred behavioral signals. When a company tells us they're planning to invest in a specific technology or initiative, that's zero-party data you can act on immediately.

If you see a company's intent data spiking around Unified Communications as a Service (UCaaS), and the same company has a spending Scoop for UCaaS, telecommunications, or call centers, you've added a very strong layer of confirmation.

Intent data types at a glance

ZoomInfo Intent covers all four signal types.

How to score and prioritize buyer intent signals

Not all intent signals carry equal weight. A prospect visiting your pricing page three times in a week means something different from a one-time whitepaper download, and your outreach response should reflect that difference.

The three-tier signal scoring model

Use a tiered model to route signals to the right action at the right time:

Mapping ZoomInfo Intent metrics to the tier model

ZoomInfo Intent measures three dimensions for every account: Signal Score, Date Range, and Audience Strength. These map directly to the tier model.

A high Signal Score measures how far above average an account is consuming content on a topic. When that's combined with broad Audience Strength (research across multiple days and multiple sites), you're looking at a Tier 1 signal. A single-session spike with low Audience Strength, where one person browsed one article, is Tier 3. Date Range adds the time dimension: sustained research over weeks is more significant than a one-day spike, even if the Signal Score looks similar.

Why signal decay makes timing non-negotiable

Signal value decays quickly. Tier 1 signals warrant same-day or next-day outreach. Accounts in active evaluation are shortlisting vendors in real time, and waiting three days to follow up on a pricing page visit is the equivalent of calling back a prospect who has already signed with a competitor. The window between "actively researching" and "decision made" is shorter than most teams assume.

Intent signals that indicate buying readiness

Intent data surfaces through multiple signals, each indicating different levels of buying readiness. Not all research activity means the same thing. Understanding which signals matter helps you distinguish serious buyers from casual browsers.

Website and content engagement

ZoomInfo's IP address-to-company graph covers 210 million IP-to-Organization pairings (zoominfo.com/data). This graph powers WebSights, which identifies which companies are visiting your website.

WebSights shows you visit frequency and which pages attract the most attention. This reveals where accounts are in their evaluation process. A company visiting your pricing page is closer to purchase than one reading high-level category content.

Website engagement signals to monitor:

• Repeat visits: Multiple sessions from the same company indicate sustained interest

• Pricing page views: Strong indicator of active evaluation

• Product/solution pages: Shows which capabilities matter to them

• Case studies or customer pages: Signals validation-seeking behavior

Topic research and search behavior

Content consumption signals from third-party sources reveal what accounts are researching across the web. ZoomInfo Intent tracks three metrics that distinguish serious buyers from casual browsers:

• Date Range: Identifies companies showing repeated interest over a specified time period, revealing sustained research patterns rather than one-time visits

• Signal Score: Measures how far above average a company is consuming content on a topic, surfacing new or unusual research activity (zoominfo.com/features/intent-data)

• Audience Strength: Distinguishes broad research (multiple days, multiple sites) from concentrated single-session browsing

Review site and competitive activity

When accounts are reading G2 comparisons, Gartner reviews, or researching your competitors, they're likely in active evaluation. These competitive intent signals indicate buying readiness because the account has moved beyond awareness into vendor comparison.

Competitive signals to monitor:

• Researching competitor products or company pages

• Reading comparison content (vs. articles, G2 category pages)

• Viewing vendor reviews and ratings

These signals don't all carry the same urgency. Use the tier model above to decide which signals trigger immediate SDR outreach versus a nurture sequence.

How to use buyer intent signals across your GTM motion

Intent data's value comes from activation, not just visibility. Having a dashboard full of intent data signals doesn't move pipeline. Connecting those signals to specific workflows and using them to trigger the right action at the right time does. Teams building agentic workflows using models like Claude or custom-built tools can connect those same signals to their agents through the GTM Context Graph (gtm.ai), which pipes verified intent and firmographic data into any agent via MCP or one API.

Prioritize in-market accounts

If you sell to businesses with more than 1,000 employees, a 10-person company showing intent spikes doesn't matter.

Use firmographic and fit data to filter out poor matches and prioritize best-fit accounts. You might know your buyers typically use Salesforce and Atlassian, and have raised at least $10 million in funding.

With ZoomInfo, you act only on intent spikes from companies meeting those criteria. Layer on multiple topic matches to strengthen signal quality.

Prioritization criteria to layer on top of intent signals:

• Company size and revenue thresholds

• Technology stack requirements

• Industry and vertical fit

• Funding stage or growth indicators

• Multiple related topic spikes

Improve lead and account scoring

Intent signals add a "readiness" dimension to traditional firmographic and demographic scoring. A company might fit your ICP perfectly, but if they're not actively researching, they're not ready to buy. Accounts with strong fit AND active research intent should be prioritized over fit-only leads.

Here's how intent-enhanced scoring differs from traditional models:

Personalize outbound and advertising

Most intent data providers track thousands of topics, creating noise and overwhelming workflows. ZoomInfo Intent focuses on topics that match your business goals.

Choose from thousands of predetermined topics or build custom topics with specific keywords. ZoomInfo specialists can research and recommend topics based on your buyer journey and historical deal patterns.

For ABM programs, intent signals transform static ICP account lists into dynamic, signal-prioritized target account lists. When a Tier 1 account shows three or more intent spikes in 30 days, escalate it to an active ABM campaign. This prevents wasted ABM spend on accounts not yet in-market.

Use intent topics to personalize outbound messaging and ad targeting with GTM Studio for building audiences and GTM Workspace for personalized outreach. GTM Studio lets marketing teams build intent-triggered audiences and launch ABM plays in minutes rather than weeks, without filing engineering tickets. Here are some ideas to get started:

• To learn which prospects are interested in your product category, select keywords and phrases that describe or are related to your solution

• To identify which customers might be actively evaluating solutions, select topics based on competitor names or products that line up with this phase in the buying process

• To surface companies still in the awareness phase, select topics on timely issues, known challenges, or pain points

Accelerate speed-to-lead

When an account shows an intent spike, reps can engage immediately rather than waiting for a form fill. Real-time alerts surface live buyer intent signals the moment a target account spikes on a priority topic, compressing response time from days to minutes.

GTM Studio workflows trigger immediate action when the right combination of intent and fit appears. Speed-to-lead workflows to implement:

• Real-time alerts when target accounts spike on priority topics

• Automatic routing to appropriate rep based on account ownership

• Triggered outreach sequences based on intent and fit criteria

Protect renewals and spot expansion

The customer renewal scenario from earlier isn't just a risk signal. It's an opportunity to intervene before a customer makes a decision. Intent data helps customer success and account management teams monitor existing customers for both churn risk and expansion signals.

When existing customers start researching competitors or adjacent products you offer, you need to know immediately. Signals to monitor for existing customers:

• Churn risk: Researching competitors or alternatives

• Expansion opportunity: Researching adjacent product categories you offer

• Engagement drop: Decrease in content consumption or product usage

How marketing and sales teams use intent signals differently

Intent signals serve different purposes depending on where they land in your organization.

Marketing use cases:

• ABM audience building: building and refreshing target account lists based on live signal activity

• Ad targeting suppression: excluding accounts that show no intent signals from paid media spend

• Content personalization by research topic: serving relevant content based on what an account is actively investigating

• Multi-channel campaign coordination: aligning email, display, and SDR outreach around the same signal triggers

Sales use cases:

• Outreach prioritization by Signal Score: routing the highest-intent accounts to reps first

• Personalized first-touch messaging referencing the account's research topics

• Deal acceleration for accounts in active evaluation

• Renewal risk monitoring for existing customers spiking on competitor topics

Common buyer intent signal mistakes to avoid

Intent data programs fail in predictable ways. Most teams don't fail because they chose the wrong provider. They fail because of how they configure, score, and act on the signals they receive.

Over-relying on a single signal source. A company that visits your pricing page once but shows no third-party research activity may be a competitor doing reconnaissance, not a buyer. Before escalating an account to Tier 1, layer multiple signal types: first-party behavior, third-party research spikes, and Scoops data. Convergence across signal types is a far stronger indicator than any single data point.

Ignoring signal decay. Following up on a pricing page visit three days later means the account has already moved on or shortlisted a competitor. Set response SLAs by tier: Tier 1 signals warrant same-day or next-day outreach; Tier 2 signals should be addressed within three business days. If your team can't consistently hit those SLAs, the problem is workflow design, not data quality.

Treating all signals as equal without scoring. SDRs who receive a flat list of "intent accounts" with no prioritization end up doing random outreach with predictably low conversion. Use Signal Score and Audience Strength to tier signals before routing. A rep who knows they're calling a Tier 1 account can craft a relevant message. A rep who gets an undifferentiated list can't.

Failing to integrate signals into CRM and MAP workflows. Intent data that lives in a separate dashboard that reps never open might as well not exist. Native CRM sync ensures signals appear as activities on account records and trigger automated sequences. Teams that lose automated workflow connections between intent signals and their MAP revert to manually downloading lists weekly. By the time those lists are acted on, the signal has decayed.

Broad intent topics that create noise. Configuring intent topics at the category level rather than the specific competitor or solution level floods the queue with low-quality signals. If your intent topic is "marketing software," you'll capture everyone from early-stage researchers to people renewing unrelated contracts. Use ZoomInfo's custom topic builder to define keywords specific to your buyer journey, including competitor names tracked individually rather than lumped into a single category topic.

Measuring ROI from buyer intent signal programs

Intent data is only as valuable as the pipeline it generates. Measuring ROI requires separating intent-influenced pipeline from cold outreach and tracking both leading and lagging indicators.

Leading indicators

Leading indicators tell you whether your intent program is operating correctly before you can see pipeline results:

• Signal coverage of ICP accounts: What percentage of your target account list is showing active intent signals at any given time? Low coverage suggests your topic configuration needs refinement.

• Signal-to-outreach conversion rate: How many intent alerts result in a rep touching the account within SLA? A high signal volume with low outreach conversion indicates a routing or workflow problem, not a data problem.

• Intent-triggered sequence reply rates vs. cold sequences: If intent-triggered outreach isn't outperforming cold outreach on reply rate, the signal-to-message connection is broken. Reps may not be referencing the research topic in their messaging.

Lagging indicators

Lagging indicators connect intent activity to revenue outcomes:

• Intent-sourced pipeline percentage: What share of your pipeline originated from accounts that showed intent signals before first touch? This is the core attribution metric for an intent program.

• Win rate for intent-triggered outreach vs. cold outreach: Accounts that showed intent signals before being contacted should close at a higher rate. If they don't, revisit your tier scoring.

• Sales cycle length for intent-engaged accounts vs. cold accounts: Accounts already in research mode typically move faster through the funnel. Tracking this gap quantifies the cycle compression that intent data provides.

The results are measurable. Snowflake saw 2x conversion and 90% higher opportunity open rates on ZoomInfo-scored accounts, a direct demonstration of what intent-driven prioritization does to lagging pipeline metrics.

GTM Studio's reporting connects intent signal activity to pipeline outcomes, giving marketing teams the closed-loop attribution that traditional MQL metrics cannot provide. This addresses the structural gap that most teams face: the inability to draw a line from campaign exposure to closed-won revenue when CRM data is disconnected from marketing activity.

What to look for in an intent data solution

Intent data quality varies widely across B2B intent data providers and intent data platforms. Activation matters as much as the data itself. A provider with perfect data but no CRM integration won't move your pipeline.

Data quality and coverage

Topic breadth, custom topic support, data freshness, and identity resolution quality all determine whether intent data actually helps you find buyers or just creates more noise.

A strong intent data solution functions as a sales intelligence layer, connecting signal data to verified contact information so reps know not just which accounts are researching, but who to call.

Quality criteria to evaluate:

• Topic breadth: Thousands of pre-built topics covering your market

• Custom topics: Ability to define keywords specific to your business

• Data freshness: Frequency of updates and alerting speed

• Identity resolution: Accuracy of IP-to-company and account matching

• Coverage depth: Contact-level data tied to account-level signals

Smartsheet increased MQLs by 84% and opportunity rates by 26% using ZoomInfo's intent-driven marketing capabilities, demonstrating what happens when high-quality signal data connects to a verified contact layer. Forrester named ZoomInfo the Leader in Intent Data Providers B2B with the highest scores across 8 criteria in the Forrester Wave Q1 2025.

Integrations and workflow activation

Intent data only drives results if it flows into existing workflows. Linking intent data with CRM records, marketing automation platforms, and sales engagement tools determines whether reps actually use the data.

ZoomInfo offers native integrations with Salesforce, HubSpot, Microsoft Dynamics, Marketo, Eloqua, Outreach, and Salesloft. APIs and MCP access enable custom workflows and agentic intent data applications for teams building their own automation. Teams that want to wire ZoomInfo's intent signals directly into their own AI agents or agentic apps can do that through the GTM Context Graph (gtm.ai), which connects the same B2B intelligence to any agent via MCP access or one API, no separate ZoomInfo interface required.

GTM Studio workflows trigger immediate action when the right combination of intent and fit appears. Expansion plays that previously took three weeks now launch in 30 minutes, without engineering support.

Integration requirements to verify:

• Native CRM sync (Salesforce, HubSpot, Microsoft Dynamics)

• Marketing automation platform integration

• Real-time alerts and routing capabilities

• API access for custom workflows

• AI agent compatibility (MCP access)

Compliance and governance

Intent data collection must comply with GDPR, CCPA, and other regulations. Verify that providers have documented data collection and consent practices before you buy.

ZoomInfo maintains ISO 27701, ISO 27001, and SOC 2 Type II certifications, with TRUSTe GDPR and CCPA compliance documentation. Compliance considerations to review:

• Provider's data collection and consent practices

• Relevant certifications (SOC 2, ISO 27001, ISO 27701)

• GDPR and CCPA compliance documentation

• Opt-out and suppression list support

Turn buyer intent signals into pipeline with ZoomInfo

ZoomInfo is an all-in-one AI GTM Platform built to turn buyer intent signals into pipeline. The platform brings together verified data, the GTM Context Graph, and universal access across every workflow and tool your team already uses.

ZoomInfo's data foundation covers 500M contacts, 100M companies, and 135M+ verified phone numbers, validated as the most comprehensive B2B dataset in a Fortune 500 competitive RFP analyzing 25 million contacts across vendors (CEO earnings call, Q4 2025). Intent signals connect directly to verified contact information, so you're not just seeing that an account is researching your category. You're seeing who to call, what they're investigating, and when to reach out. That connection between signal and verified contact is what separates ZoomInfo intent data from raw signal feeds that leave reps to figure out the rest.

The GTM Context Graph processes 1.5B+ data points daily, fusing intent signals with your CRM records, conversation intelligence, and behavioral data into a unified reasoning layer. It captures not just what accounts are researching, but why, and which actions are most likely to convert. Teams building agentic workflows can access this same intelligence through the GTM Context Graph (gtm.ai), piping verified intent and firmographic data into any AI agent via MCP or one API.

Intent signals flow into GTM Studio for audience building and orchestration, and into GTM Workspace where reps act on prioritized accounts with full context. The same intelligence is available through APIs and MCP for teams building custom workflows, no separate ZoomInfo interface required. Whether your team works in Salesforce, a custom-built agent, or a marketing automation platform, ZoomInfo intent data signals and buying signals surface in the tools where decisions actually get made.

Ready to turn buyer signals into revenue? Talk to our team to see how ZoomInfo Intent works with your existing GTM motion.

Frequently asked questions

What are buyer intent signals?

Buyer intent signals are behavioral data points showing which accounts are actively researching a topic, product, or solution online. They include first-party signals (website visits, content downloads, email clicks) and third-party signals (content consumption on industry publications, review site activity, competitor research). Unlike firmographic data, intent signals reveal timing: which accounts are in-market right now, not just which ones fit your ICP profile. ZoomInfo Intent tracks both signal types across a publisher network of B2B sites and your own properties.

What are some examples of buyer intent signals?

Buyer intent signals span multiple channels. Website behavior examples include pricing page visits (active evaluation), repeat product page views (capability research), and demo requests (highest-intent first-party signal). Off-site examples include G2 or Gartner comparison research (vendor shortlisting), competitor topic spikes on industry publications (category research), and whitepaper downloads on your solution category (awareness to consideration). Engagement signals include forwarding a sales email to a colleague (buying committee expansion) and clicking a pricing link in an email (commercial intent). Contextual signals include a new executive hire in a relevant function (organizational change) and a funding round announcement (budget availability). Grouping signals by channel helps you audit your own coverage and identify gaps.

What is the difference between first-party and third-party intent data?

First-party intent data is signals you collect from your own properties: website visits, content downloads, email engagement. It's highly accurate but limited to accounts that have already found you. Third-party intent data is signals collected from external publisher networks and review sites, revealing which accounts are researching your category before they ever visit your site. The most effective intent programs combine both: first-party data shows who is engaging with you, third-party data shows who is in-market but hasn't found you yet. See the intent data platform page for how ZoomInfo combines both signal types in a single workflow.

What AI tools help with buyer intent signals?

Several platforms help teams collect and act on buyer intent signals: ZoomInfo Intent (third-party signals from publisher networks, Guided Intent, Scoops), HubSpot (first-party intent signals from website and CRM activity), G2 Buyer Intent (review site research signals), LinkedIn Sales Navigator (buyer intent from LinkedIn activity), and Bombora (B2B intent data cooperative). ZoomInfo's GTM Context Graph goes further by fusing intent signals with CRM data, conversation intelligence, and behavioral signals into a unified reasoning layer, so teams see not just which accounts are researching, but why and what action to take. Teams building AI agents can access ZoomInfo's intent intelligence directly through the GTM Context Graph.

How do I use intent data to prevent customer churn?

Monitor existing customers for intent signals on competitor products or adjacent solution categories. When a customer starts researching alternatives, that's a churn risk signal you can act on before they make a decision. Set up alerts in ZoomInfo Intent for your existing customer accounts spiking on competitor topics, and when the signal appears, route it to the account manager immediately, not after the next QBR. Pair the intent signal with Scoops data: if the same account has a declared initiative for a technology you offer, that's an expansion opportunity, not just a churn risk. Snowflake saw 2x conversion on ZoomInfo-scored accounts, demonstrating the lift that intent-driven account prioritization delivers for both new business and expansion.

How does ZoomInfo Intent data work?

ZoomInfo Intent analyzes signals from 210 million IP-to-Organization pairings and 6 trillion+ new keyword-to-device pairings sourced monthly to identify which companies are consuming content on topics relevant to your business. It tracks three metrics: Signal Score (how far above average an account is consuming content on a topic), Date Range (sustained research over time vs. one-time visits), and Audience Strength (broad research across multiple sites vs. single-session browsing). Guided Intent identifies topics historically correlated with closed-won deals in your specific business, rather than requiring manual topic selection. Scoops add a declared-intent layer: survey data from knowledge workers confirming planned initiatives. See ZoomInfo Intent for the full product overview.